Intelligent Service On-Demand Robot Virtualization

ABSTRACT

Robots may be automatically instantiated, modified, evolved, trained, or terminated based on location, time of day, user preference, special event trigger, or emergency. The robots may perform tasks to provide selective services on-demand within medicine, agriculture, military, entertainment, manufacturing, personal, or public safety, among other things.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of, and claims priority to, U.S.patent application Ser. No. 15/497,897, filed Apr. 26, 2017, entitled“Intelligent Service On-Demand Robot Virtualization,” the entirecontents of which are hereby incorporated herein by reference.

TECHNICAL FIELD

The technical field generally relates to virtualization and, morespecifically, to systems and methods for robot virtualization to provideservices on-demand.

BACKGROUND

A robot is a mechanical or virtual artificial agent, usually anelectromechanical machine that is guided by a computer program orelectronic circuitry, and thus is a type of an embedded system. Robotshave been widely used today for wide range of industries (e.g., oildrilling, factory automation, underwater discovery, etc.). Conventionalrobots require dedicated and special purpose hardware/software resourceswhich impose significant limitations. Conventional robots lackflexibility and are incapable to adapt when environment, application,and event changes. In addition, conventional robots do not provideservices on-demand for a user or group of users based on location, timeof day, user preference, special event trigger, or emergency.

SUMMARY

Robots may be automatically instantiated, modified, evolved, trained, orterminated based on location, time of day, user preference, specialevent trigger, or emergency. The robots may perform tasks to provideselective services on-demand within medicine, agriculture, military,entertainment, manufacturing, personal, or public safety, among otherthings.

In an example, an apparatus may include a processor and a memory coupledwith the processor that effectuates operations. The operations mayinclude receiving information associated with a service; determining atleast one task to perform to fulfill the service; determining based onthe at least one task, specifications for a robot; generating a virtualmachine based on the specifications for the robot; and providinginstructions to activate the virtual machine to control the robot.

This Summary is provided to introduce a selection of concepts in asimplified form that are further described below in the DetailedDescription. This Summary is not intended to identify key features oressential features of the claimed subject matter, nor is it intended tobe used to limit the scope of the claimed subject matter. Furthermore,the claimed subject matter is not limited to limitations that solve anyor all disadvantages noted in any part of this disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

Aspects of the herein described on-demand robot virtualization,intelligent service on-demand robot virtualization, and robotvirtualization leveraging Geo analytics and augmented reality methods,systems, and apparatuses are described more fully with reference to theaccompanying drawings, which provide examples. In the followingdescription, for purposes of explanation, numerous specific details areset forth in order to provide an understanding of the variations inimplementing the disclosed technology. However, the instant disclosuremay take many different forms and should not be construed as limited tothe examples set forth herein. When practical, like numbers refer tolike elements throughout.

FIG. 1 illustrates an exemplary system for on-demand robotvirtualization.

FIG. 2A illustrates an exemplary method for on-demand robotvirtualization.

FIG. 2B illustrates an exemplary method for intelligent serviceon-demand robot virtualization.

FIG. 3 illustrates a schematic of an exemplary network device.

FIG. 4 illustrates an exemplary communication system that provideswireless telecommunication services over wireless communicationnetworks.

FIG. 5 illustrates an exemplary communication system that provideswireless telecommunication services over wireless communicationnetworks.

FIG. 6 illustrates an exemplary telecommunications system in which thedisclosed methods and processes may be implemented.

FIG. 7 illustrates an example system diagram of a radio access networkand a core network.

FIG. 8 depicts an overall block diagram of an example packet-basedmobile cellular network environment, such as a general packet radioservice (GPRS) network.

FIG. 9 illustrates an exemplary architecture of a GPRS network.

FIG. 10 is a block diagram of an exemplary public land mobile network(PLMN).

DETAILED DESCRIPTION

Disclosed herein are methods, systems, and apparatuses for on-demandrobot virtualization, intelligent service on-demand robotvirtualization, and robot virtualization leveraging Geo analytics andaugmented reality. Robots may be instantiated on-demand and may beadaptive to an environment, application, or event change. Robots mayalso, for example, be automatically instantiated, modified, evolved,trained, or terminated to provide services on-demand based on location,time of day, user preference, special event trigger, or emergency. Inaddition, robots, users, or a central controller may leverage Geoanalytics and augmented reality to search for, discover, access and userobots. Geo analytics is the analysis of data (e.g., demographic,customer, or robot data) by geographical area or other form of spatialreferencing. Augmented reality is the integration of digital informationwith the user's environment in real time. For example, a live direct orindirect view of a physical, real-world environment whose elements areaugmented (or supplemented) by computer-generated sensory input such assound, video, graphics or GPS data.

FIG. 1 illustrates an exemplary system 100 for on-demand robotvirtualization, intelligent service on-demand robot virtualization, androbot virtualization leveraging Geo analytics and augmented reality.Server 101 may be communicatively connected via network 103 to sensor104, robot 106, or mobile device 108. Examples of mobile device 108 mayinclude, but are not limited to, a tablet, smartphone, laptop, wearabledevice (e.g., smart watch, glasses, visor), or Internet of Things (IoT)device. In system 100, as discussed herein, there may be multiplevirtual machines located within different devices, such as virtualmachine 102, virtual machine 107, or virtual machine 109. Virtualmachines may encapsulate a complete set of virtual hardware resources,including an operating system and all its applications, inside asoftware package. Virtual machines may be different identities thatcomprise functions for that identity (e.g., police officer, bankteller). Sensor 104 may be an accelerometer, gyroscope, magnetometer,light sensor, temperature sensor, motion sensor, pressure sensor, weightsensor, global positioning sensor (GPS), or a sensor that monitors auser's health (e.g., blood pressure, blood sugar, oxygen level, heartrate), among others. Sensor 104 may be located in or outside astructure, located in or on robot 106, located in or on mobile device108, located in or on a user, or the like.

Robot 106 (also referred to herein as hardware resources) may be anytype of robot (e.g., bipedal or quadrupedal; autonomous ornon-autonomous), and may, for example, be humanoid robot. In general,humanoid robots may have a torso, a head, two arms, and two legs, but itis contemplated that some forms of humanoid robots may model only partof the body, such as from the waist up or just an arm(s). A robot may bedefined as an actuated mechanism programmable in two or more axes with adegree of autonomy, moving within its environment, to perform intendedtasks. See ISO 8373:2012(en) (which is hereby incorporated by referencein its entirety), however, a robot as used herein is not intended to belimited as such. For example, a robot may be programmable for movementalong only one axis. An autonomous robot may be a robot that performsbehaviors or tasks with a high degree of autonomy, which is particularlydesirable in fields such as space exploration, household maintenance(such as cleaning), waste water treatment and delivering goods andservices. A fully autonomous robot may, for example, gain informationabout the environment; work for an extended period without humanintervention; move a part of itself throughout its operating environmentwithout human assistance; and avoid situations that are harmful topeople, property, or itself unless those are part of its designspecifications.

FIG. 2A illustrates an exemplary method for on-demand robotvirtualization. At step 111, server 101 may receive informationassociated with a location. For example information associated with alocation may include information from sensor 104 near the location,information from mobile device 108 (e.g., request for use of robot 106in a particular manner—emergency or errand), information from robot 106(e.g., sensor information or request based on determined status oflocation), or other information (e.g., time, date). At step 112, sever101 may determine, based on the information, a type of event (e.g.,robbery, user request, medical emergency, fire, etc.). The event may bewithin a predetermined category which indicates that the event isappropriate for a robot (i.e., robot actionable event). A robotactionable event may be predetermined by a user. A robot actionableevent may be based on a certain threshold level being met or othertriggers. In a first example, a threshold level may include a detectednumber of people in an area. The detected number of people may indicatea possible need for a crowd control operation by robot 106 or mayindicate a possible need for an extra cashier to assist at customercheckout. In the first example, it is contemplated that there may beseveral considerations made in addition to the number of people, such aslocation of event or time of day. In a second example, information mayinclude a number of people, body language or facial expressions of thepeople, and number of balloons. For this example, consideration of theinformation may indicate that a celebration (e.g., birthday party) isoccurring and trigger robot 106 to be a clown (e.g., juggles or inflatesballoons).

At step 113, as eluded to in step 112, based on the event, server 101may determine desired specifications of robot 106. Server 101 may have alist of minimum to ideal specifications for robot 106 to have for thetype of event. Revisiting the first example above, robot 106 may need tobe a threshold height in order to be visible by the crowd, havethreshold audio capabilities in order to be heard by the crowd, andthreshold communication capability (e.g. SMS, MMS, voice over IP, etc.)in order to coordinate with other robots or people that may be assistingor desire to assist with crowd control. Specifications desired for robot106 may be software or hardware related, which may include softwareversions, battery (e.g., current battery life, battery power output,estimated battery life to perform anticipated actions, etc.), antennas,processor speed, amount of memory, speed of robot 106, payload capacity(e.g., carrying a person or thing), types of sensors of robot 106,lights, actuators, or the like. The specifications may also apply tomobile device 108.

With continued reference to FIG. 1, at step 114, virtual machine 102 maybe generated or selected based on the event, based on the controlfunctions, or based on the specifications (desired or actual) of robot106. At this step 114, server 101 may consider the control functions(e.g., the hardware or software functions used to perform certainactions, such as lift an object) to select or generate an appropriatevirtual machine 102. At step 115, instructions are provided to activatevirtual machine 102 to control robot 106.

Another aspect of the disclosure is methods, systems, and apparatusesfor intelligent service on-demand robot virtualization. Exemplaryservices may include medical (e.g., First-aid, diagnostic, treatment,therapy, surgery), agricultural (e.g., soil preparation, crop services,veterinary, landscape, horticulture), military (e.g., combat,reconnaissance, armament, personnel support, defusing explosives),entertainment (e.g., storytelling, playing a musical instrument),industrial (e.g., manufacturing, maintenance), personal (e.g., cleaning,banking, shopping, transportation, personal care due to disability,disease, illness), and public safety (e.g., police, fire, emergencymedical, search and rescue, infrastructure inspection, traffic control).By way of example, a medical service may involve physical therapy inwhich a virtual machine 102 containing a physical therapy computerprogram involving the massaging of a calf muscle is instantiated on arobot 106. The robot 106 would then provide the requested massaging ofthe calf muscle. In another example, an entertainment service mayinvolve playing the piano in which a virtual machine 102 containing acomputer program that would instruct a robot to play a piano may beinstantiated on robot 106. It will be understood that other specificexamples of services may be programmed and be loaded on the virtualmachine with the services program being instantiated thereon.

To provide services on-demand, an individual robot 106 or a group ofrobots 106 may be automatically instantiated, modified, evolved,trained, or terminated based on, for example, location, time of day,user preference, special event trigger, and/or emergency (e.g., fire,medical emergency, robbery). Robot 106 may also be automaticallypurchased, sold, exchanged, rented, donated, and/or loaned based on, forexample, location, time of day, and/or user preference. Robot 106 may beautomatically searched or discovered based on, for example, location,time of day, and/or user preference. Robot 106 may perform services foran individual user or the services may be shared among a group of users.And robot 106 may be able to automatically perform services on behalf ofan individual user or group of users.

FIG. 2B illustrates an exemplary method for intelligent serviceon-demand robot virtualization. At step 121, server 101 may receiveinformation associated with a service to be performed. For example,information associated with a service may include information regardinglocation, time of day, a user preference, a special event trigger,and/or an emergency. The information associated with the service mayinclude information from sensor 104, information from mobile device 108(e.g., user request for use of robot 106 in a particular manner),information from a computer database (not shown) (e.g., predefined orscheduled service requests, a manufacturing process), information fromrobot 106 (e.g., robot performing a service for a user may requireassistance from another robot to fulfill the service), and/orinformation from a third-party (e.g., retailer information regarding aproduct, doctor writing a prescription for medication, procedure,therapy). In one example, server 101 may receive a request for cleaningservice at a user's home. In another example, a user request scenariomay include a user utilizing a mobile device 108 to identify a local orsurrounding area robot, event or item of interest and sending a requestfor services to server 101. One such example may include a useridentifying a piano on his or her mobile device and requesting music(e.g., a robot to play the piano). In another example, server 101 mayreceive location information for a user (e.g., from sensor 104 locatedin or on mobile device 108) and automatically provide services based onthe user's location, the time of day, and/or user preference. One suchexample may include server 101 automatically instantiating a robot 106to provide the calf massage physical therapy discussed above when a userenters a physical therapy facility (e.g., user has a scheduled physicaltherapy appointment or a new prescription for physical therapy). Inanother example, server 101 may comprise artificial intelligence (AI)that is configured to analyze services provided in the past or a user'sprevious activity and predict services needed based on the user'scurrent location, time of day, and/or user preference.

At step 122, server 101 may determine, based on the information, whattask(s) need to be performed to fulfill the service. In general, tasksare a subset of operations that make up a service. A service maycomprise a single task or multiple tasks. Revisiting the examples above,at step 122, server 101 may determine that playing the piano is a singletask and that housecleaning service comprises multiple tasks, includingvacuuming, mopping, dusting, and cleaning windows.

At step 123, server 101 may determine whether to use multiple robots 106to perform the task or tasks to fulfill the service. At this step,server 101 may consider several factors, including, for example, thetasks to be performed, the timeframe for completing the service, theamount of available robots 106, the number of users receiving theservice, and the user's preference (e.g., user requests multiplerobots). If server 101 determines to use more than one robot 106, atstep 131, server 101 may determine task execution information thatidentifies how multiple robots 106 will perform the tasks to fulfill theservice. For example, server 101 may schedule the task executionsequentially or in parallel. Further, server 101 may schedule and allowa plurality of robots 106 to collaborate with each other to perform thedetermined tasks. For example, in one scenario of the housecleaningservice, at step 123, server 101 may determine to use one robot 106 toperform all of the cleaning tasks. In a second scenario, server 101 maydetermine to use multiple robots 106 for the cleaning tasks (e.g., arobot for vacuuming, a different robot for mopping, etc.) and schedulethe robots 106 to perform the cleaning tasks in parallel to fulfill thecleaning service request more quickly. In a third scenario, server 101may determine to use multiple robots 106 for the cleaning tasks andallow the robots 106 to collaborate with each other on at least one task(e.g., two robots to vacuum).

At step 124, based on the task or tasks to be performed, server 101 maydetermine the desired specifications for available hardware resources(e.g., robot 106). Server 101 may have a list of minimum to idealspecifications for robot 106 to have for the task or tasks to beperformed. For example, in the first housecleaning service scenario,robot 106 may need to have threshold height, reach, and maneuverabilityto perform all of the cleaning tasks (e.g., vacuuming, mopping, dusting,cleaning windows). In the second housecleaning service scenario, themultiple robots 106 may have different specifications based on theindividual tasks to be performed (e.g., robot for vacuuming may not needthe same height, reach, or maneuverability as a robot for mopping,dusting or cleaning windows). In the musical instrument example, robot106 may need an appendage or appendages with threshold grasping anddexterity capability in order to play the instrument. In addition,specifications desired for robot 106 may be software or hardwarerelated, which may include software versions, battery (e.g., currentbattery life, battery power output, estimated battery life to performanticipated actions, etc.), antennas, processor speed, amount of memory,speed of robot 106, payload capacity, type of sensors of robot 106,lights, actuators, or the like. Other exemplary specifications mayinclude task-specific components (e.g., built-in vacuum for a cleaningrobot).

At step 125, virtual machine 102 may be generated or selected based onthe task or tasks to be performed, based on the control functions, orbased on the specifications (desired or actual) of robot 106. At thisstep 125, server 101 may consider the control functions (e.g., thehardware or software functions used to perform certain actions, such aslift an object) to select or generate an appropriate virtual machine102. At step 126, instructions are provided to activate virtual machine102 that will configure and control robot 106 to perform a task or tasksto fulfill the service. Server 101 may instantiate the robot based onrobot location, priority (e.g., emergency service may have higherpriority to access robot than a personal service request), and taskexecution information (e.g., multiple robots sequentially or inparallel). In addition, server 101 may also transmit instructions torobot 106 to move from its current location to a destination location toperform the service (e.g., from robot's current location to the user'shouse to perform cleaning services).

At step 127, server 101 may determine whether a task has been completed.If a task has not been completed, at step 128, server 101 may determinewhether to modify a task. If a task has been completed, at step 129,server 101 may determine whether the service has been fulfilled. Atsteps 127, 128, and 129, server 101 may consider information receivedfrom one or more sources, including for example, robot 106, sensor 104,a user, and a third-party.

At step 128, server 101 may determine to modify a task. For example, atask may be modified due to environmental factors (e.g., weather,physical obstructions), a change in the user's service request, amalfunction in the robot 106, a change in available hardware resources(e.g., additional robots may be available to collaborate on a task),user location, preferences, and/or time of day. If server 101 determinesto modify a task, at step 123, server 101 may determine whether themodified task requires multiple robots 106 or that multiple robots 106are performing the task to be modified. If so, at step 131, server 101may revise the task execution information. A And server 101 may thenperform steps 124, 125, and 126 as discussed above to automaticallyconfigure, instantiate, and control the desired robot 106 or pluralityof robots 106 to perform the modified task. At step 129, if server 101determines that the service has been fulfilled then server 101 may, atstep 130, perform an end procedure. The end procedure may includefreeing the robot 106 to be assigned a task associated with a differentservice request. A freed robot 106 may remain in place, return to adesignated starting location, or be directed to a different location.

If a task or set of tasks have been completed, but the service has notbeen fulfilled, at step 131, server 101 may determine, based on taskexecution information, whether there are any remaining tasks to beperformed. If so, server 101 may perform steps 124, 125, and 126 asdiscussed above to automatically configure, instantiate, and control thedesired robot 106 or plurality of robots 106 to perform another taskneeded to fulfill the service. In modifying a task or assigning aremaining task, server 101 may use different hardware resources, orprovide new control instructions for at least a portion of the hardwareresources that were performing a task or completed a task. Anypreviously-used hardware resources that are not reassigned a task forthe service may then be freed to perform a task for a different service.

Returning to the first housecleaning scenario above (all cleaning tasksto be performed by one robot 106), at step 128, server 101 may receiveinformation regarding a change in the user's request (e.g., change thetime for cleaning) or information regarding the user's location thatindicates he or she is returning home and information from the robot 106indicating what tasks it has performed (e.g., finished vacuuming,started mopping, but did not dust or cleaning windows). Based on theinformation, server 101 may determine to modify the tasks and at steps123 and 131, server 101 may determine to use to use multiple robots 106in parallel to fulfill the cleaning services in a shorter amount oftime. Server 101 may then perform steps 124, 125, and 126 to modify theoriginal robot's tasks to finish mopping and automatically configure,instantiate, and control an additional two robots 106 to perform theremaining dusting and cleaning windows tasks. At step 127, if server 101determines that one of the robots has completed a cleaning task, but atstep 129 determines that the cleaning service has not been fulfilled(e.g., at least one of the robots is still performing a cleaning task),then at step 131, server 101 may free the robot for a different serviceor modify the task execution information and perform steps 124, 125 and126 to allow the robot to collaborate with another robot to perform atask (e.g., both robots clean windows). At step 130, server 101 maydetermine that all the cleaning tasks have been performed and thecleaning service request has been fulfilled. Server 101 may perform anend procedure to free the robots 106 so that they may be used for adifferent service.

Another aspect of the disclosure is systems and apparatuses for robotvirtualization leveraging Geo analytics and augmented reality. Aplurality of robots 106 may be distributed or placed at variouslocations in a geographic area. In one example, server 101 may receiveinformation from each robot 106 in the geographic area (e.g., location,specifications, availability status (e.g., robot is unavailable,available, or will be available at a specified time or in a specifiedamount of time)). In one scenario, server 101 may automatically receiveinformation from the robots 106 (e.g., robots transmit information toserver 101 at periodic time intervals (e.g., every 500 milliseconds, 1second (s), 30 s, 1 minute (min.), 5 min., etc.)). In a second scenario,server 101 may receive the information in response to a messagetransmitted from server 101 to the robots 106 (e.g., server 101transmits a request for the information to robots 106). Based at leastin part on the information received from robots 106, server 101 maydetermine to relocate a robot 106 within the geographic area andtransmit instructions to the robot 106 to move from its current locationto a different location (e.g., the destination location). In onescenario, server 101 may relocate a robot 106 based on supply anddemand. For example, server 101 may relocate robot 106 based on acurrent request for robot 106 (e.g., user request for services to beperformed by a robot at a specific location) or anticipated userrequests for services based on time of day, location of users,geographic location, and/or event (e.g., lunchtime at a food court,detected large group of users at a sports stadium, plane arriving at anairport terminal, fire at a residential or commercial building). By wayof an example, server 101 may relocate robot 106 in response to arequest from a user for housecleaning services (e.g., robot 106 to cleanthe user's home). In another example, server 101 may receive informationthat a building is on fire and relocate robots 106 to the building'slocation so that robots 106 are available and in close proximity tofulfill emergency service requests. In a second scenario, server 101 mayrelocate robots 106 for maintenance or repairs.

In another example, server 101 may receive information from each robot106 in a geographic area (e.g., location, specifications, availabilitystatus) and transmit the information for robots 106 to a user (e.g., toa user's mobile device 108). In another example, server 101 maypersonalize the user's mobile device by transmitting a portion of theinformation for robots 106 to the mobile device 108. For example, server101 may transmit a reduced amount of information for robots 106 (e.g.,location only, fewer specifications) and/or transmit information for asubset of robots 106 to the mobile device (e.g., robots within a certaindistance from the user's location, robots within a certain distance froma location specified by the user, available robots, robots with certainspecifications). In another example, the mobile device 108 may filterthe information received from server 101 and present to the user aportion of the information for robots 106. For example, mobile device108 may present the user a reduced amount of information for robots 106and/or information for a subset of robots 106.

Scenarios are envisioned herein for server 101 to transmit theinformation for robots 106 to a mobile device 108. In one scenario,server 101 may transmit the information at a periodic time interval(e.g., provides updated information for robots 106) that may bedifferent than the time interval that the information is received fromrobots 106. For example, server 101 may receive information from robots106 every 500 milliseconds and transmit information to mobile device 108every 2 seconds. In a second scenario, server 101 may transmit theinformation for robots 106 to mobile device 108 in response to a requestfrom the user.

As alluded to in the examples above, the information for robots 106 maybe personalized based on the location of mobile device 108. Mobiledevice 108 may include a sensor 104 (e.g., GPS, Wi-Fi, cellular radio)that may be used to determine the location of the mobile device 108. Inone scenario, server 101 may track the location of a mobile device 108as a function of a mobility network. In a second scenario, mobile device108 may transmit its location to server 101. In either of thosescenarios, server 101 may personalize the information for robots 106that is transmitted to the mobile device 108 based on the location ofmobile device 108. In a third scenario, mobile device 108 may filter theinformation for robots 106 received from server 101 based on thelocation of mobile device 108.

Mobile device 108 may implement augmented reality by superimposing theinformation for robots 106 on the user's mobile device display. Forexample, the information may be superimposed over a staticrepresentation of the real world (e.g., map) or a real-time view (e.g.,projected on glasses, visor). The user may utilize the mobile device 108to search for, discover, access, and use one or more of the robots 106(e.g., to provide a service or services). The user may also use mobiledevice 108 to provide information about the service that is pushed up toserver 101, which generates or selects a virtual machine 102 toconfigure and control the desired robot 106.

By way of example, a user may be in a public location with some friendsand desire to hear live music. For this example, server 101 is incommunication with the user's mobile device 108 and transmitsinformation for robots 106 to the user's mobile device every 2 seconds.The mobile device 108 may display a map of the surrounding area centeredon the user's current location and superimpose information representingthe location of all available robots 106 on the map (e.g., theinformation for robots 106 displayed on mobile device 108 is reduced forlocation of only available robots 106 and adjusted to the map scale).The user may then filter the information further based on specificationsto display only robots 106 that are capable of playing a musicalinstrument. The user's mobile device 108 may then superimposeinformation on the mobile device display indicating that there are fiverobots 106 within four blocks of the user that are capable of playingpiano, drums, guitar, saxophone, violin, and harmonica. The user maythen use her mobile device to select two of the robots and transmit amessage from her mobile device 108 to server 101 specifying that shewants the first robot to play a guitar and the second robot to play aharmonica at her current location. Referring to FIG. 2B, at step 121,server 101 receives the request for two robots to play two differentinstruments at a user's current location. At step 122, server 101 maydetermine that playing the guitar and playing the harmonica are each asingle task. At step 123, server 101 may determine to use two robotsbased on the user's request for two robots and the two tasks to beperformed. At step 131, server 101 may determine to execute the twotasks in parallel to fulfill the user's request. At step 124, server 101may determine the desired specifications for a robot to play guitar andfor a robot to play harmonica. Based on the specifications of the twoavailable robots, server 101 may select the first robot to play guitarand the second robot to play harmonica. At step 125, server 101 maygenerate or select a first virtual machine 102 containing a computerprogram that instructs the first robot to play a guitar. Server 101 mayalso generate or select a second virtual machine 102 containing acomputer program that instructs the second robot to play a harmonica.And at step 126, server 101 may provide instructions to activate thefirst virtual machine 102 to control the first robot and to activate thesecond virtual machine to control the second robot. In addition, server101 may transmit instructions to the first and second robots to movefrom their respective current locations to the user's location.

In another example, as discussed below, at step 125, server 101 maygenerate or select virtual machines 109 for the first and second robots106 and transmit the virtual machines 109 to the user's mobile device108, which may allow the user to control the first and second robots 106(e.g., directly control what songs the first and second robots 106play). In this example, server 101 may also transmit instructions to thefirst and second robots 106 to move from their respective currentlocations to the user's location, where the user may then be able tocontrol the first and second robots 106 via virtual machines 109.

In another example, server 101 may receive information from each robot106 in a geographic area (e.g., location, specifications, availabilitystatus) and transmit at least a portion of that information to robots106 (e.g., provide robot 106 information for other robots 106 in thegeographic area). In one scenario, server 101 transmits at least aportion of the information at a periodic time interval that may bedifferent than the time interval that the information is received fromthe robots 106. In a second scenario, server 101 may transmit theinformation to an individual robot 106 or group of robots 106 inresponse to a request from an individual robot or group of robots. Inone example, robot 106 may search for and discover the capabilities ofanother robot 106 or group of robots 106. Robot 106 may then transmitinformation to server 101 to access and use the capabilities of theother robot 106 or group of robots 106 to fulfill a service. Asdiscussed below, robot 106 may be controlled by virtual machine 107,thereby allowing robot 106 to make individual decisions in performingtasks to fulfill a service. For example, such a robot 106 may beattempting to rescue a person in an emergency situation and requireassistance from other robots 106 in the immediate vicinity to lift anobject off of the person. Robot 106 may search for and discover otherrobots 106 in the immediate vicinity that have the requiredcapabilities. And robot 106 may transmit information to server 101 togenerate and activate a virtual machine for at least one of the otherrobots 106.

There are several scenarios in which the virtual machine 102, 107, or109, such as in steps 114, 115, 125, and 126 may be used for on-demandrobot virtualization, intelligent service on-demand robotvirtualization, and robot virtualization leveraging Geo analytics andaugmented reality. In a first scenario, virtual machine 102 may remotelycontrol robot 106. Server 101 may turn off or switch the virtualmachines to correspond to different events (e.g., police officer virtualmachine may be switched to cashier virtual machine) or to performdifferent tasks to fulfill services. In a second scenario, virtualmachine 107 may reside on robot 106 (e.g., an installed instance ofvirtual machine 107). Virtual machine 107 may be one of a plurality ofvirtual machines on robot 106 that is activated as needed (e.g., step115, 126). The other virtual machines on robot 106 may be in memory asfile, but not an installed instance. Virtual machine 107 may be in azipped or non-installed state and be alerted to uninstall via step 115,126 and become an installed instance. Server 101 may transfer virtualmachine 107 to robot 106 after the control function is determined. In athird scenario, server 101 may send the software for virtual machine107, but in this scenario robot 106 may be used to carry the software ofvirtual machine 107 to another robot (not shown) that is the ultimateattended user of the virtual machine 107. Robot 106 may physicallyconnect (e.g., USB) with the other robot or wirelessly connect with theother robot. This method may be used based on security concerns andbudgetary reasons (e.g., only one robot has sufficient security todownload and transmit in order to keep costs down). Signal strength mayhelp determine selected virtual machines or how much of an identity isdownloaded. For example, there may be different levels of an identitydownloaded based on signal strength at current location of robot 106 oranticipated signal strength for an area robot 106 will traverse.

Additional scenarios associated with virtual machines are discussedbelow. In a fourth scenario, server 101 may send the software forvirtual machine 107 to mobile device 108, but in this scenario mobiledevice 108 may be used to carry the software of virtual machine 107 torobot 106 that is the ultimate intended user of virtual machine 107(e.g., installed instance of virtual machine 107). Mobile device 108 maybe physically connected (e.g., USB—universal serial bus) with robot 106,wirelessly connected with robot 106, or a memory of mobile device 108may be inserted into robot 106. The user associated with mobile device108 may be authorized to instruct/direct robot 106. In a fifth scenario,server 101 may send or activate virtual machine 109. Virtual machine 109may also already be present on mobile device 108 and activated by anassociated user of mobile device 108. In this scenario, mobile device108 may be used to wirelessly connect with robot 106 and use virtualmachine 109 to control robot 106. Robot 106 may act as a physicalextension of virtual machine 109 on mobile device 108. Exemplary usecases for the mobile device 108 scenarios (and other scenarios) mayinclude consumer use of robot 106 in pushing a grocery cart or mowing alawn (e.g., personal service robot).

Thus, once robot 106 or a plurality of robots 106 have beeninstantiated, robot 106 may be centrally controlled (e.g., virtualmachine 102), control may be distributed among the robots 106 (e.g.,virtual machine 107), thereby allowing the robots 106 to make individualdecisions in performing tasks to fulfill a service, or a user maydirectly control robot 106 (e.g., virtual machine 109) to fulfillservices.

Scenarios are envisioned herein where the robots 106 may be owned by theconsumer (e.g., individual user, end user), other users, a governmententity, or a third-party (e.g., business, corporation, private entity,etc.). As such, individual users or groups of users are able toexchange, borrow, purchase, or loan robots 106 with each other tofulfill services. For example, one or more of the robots 106 in thecleaning scenarios above may be owned by a neighbor and loaned to,exchanged with, or borrowed or purchased by the end user to fulfill thecleaning service. In addition, a consumer may also pay to use robot 106in the scenarios discussed herein. In one example, payment may be viawebsite payments or convenient mobile payments (e.g., “mobile wallet”via near field communication—NFC). In another example, a user may have asubscription to use robot 106 or to receive services. In anotherexample, a robot performing a service on behalf of a user may exchangepayment, credit, or debit with another robot for service fulfillment. Inemergency situations, payment may not be needed just the dialing of 911and communicatively connecting with robot 106. Dialing 911 may connectmobile device to voice call with emergency personnel, but also maybroadcast an emergency alert to nearby robots, which may assist inlocating mobile device 108. Robot 106 may automatically report itslocation in this emergency situation. Mobile device 108 may bephysically (e.g., wired/inserted) connected or wirelessly connected withrobot 106 then 911 may be dialed to indicate an emergency. There may bea default emergency related virtual machine (e.g., police, fire) loadedon mobile device 108 or robot 106 for quick access.

Further considerations associated with on-demand robot virtualization,intelligent service on-demand robot virtualization, and robotvirtualization leveraging Geo analytics and augmented reality arediscussed below. Robot 106, before installation of a virtual machine,may have base level functions, such as responding to name or digitallydisplaying information. As discussed herein, robots may be changed fromone identity to the next (e.g., police officer mode to bank tellermode). A display on robot 106 may communicate the mode (i.e.,virtualized function) based on text, a color, a picture, or video (e.g.,“POLICE OFFICER”). The display of robot 106 (not shown) may be locatedon forehead (or other portions of face), on back of head, torso (e.g.,chest), or back (e.g., upper back) of robot 106.

Location or detection of wireless signals may be used to help restrictfunctions and make robot 106 more secure. Geofences may be used create aboundary for the use of robot 106. A geofence is a virtual barrier.Programs that incorporate geo-fencing allow an administrator to set uptriggers so when a device enters (or exits) the boundaries defined bythe administrator, an action is taken, such as a SMS message is sent,email alert is sent, a siren goes off. In an example, if robot 106reaches a geofence boundary it may shutoff, move back towards the centerof the geofence, or otherwise stop moving. In another example, thegeofence may restrict robot 106 to a particular set of identities. Robot106 may have identity A and be allowed to use identity A in geofence Y(not shown), but not in geofence Z (not shown). So if robot 106 entersinto geofence Z, robot 106 may immediately shutdown. Alternatively, ifrobot 106 enters in geofence Z, robot 106 may be allowed in geofence Zwith identity A for a short period (e.g., 30 minutes). Once the periodis expired, robot 106 may shutdown, resort to a default identity andreturn to geofence Y, or a number of other alternatives. It iscontemplated that this may be particularly useful with jurisdictionalissues, for example with police or other public safety. Geofences may bedetermined based on the detection of wireless radio or light signals orGPS, among other things.

Wireless signaling technology (e.g., radio, infrared, ultrasonic) may beused to restrict the use of robot 106. A wireless technology may beselected based on a determined function. In an example, if robot 106 isin a mode as an assistant of a user associated with mobile device 108,then Bluetooth may be used to keep robot 106 from roaming away. But ifrobot 106 is in a mode as a security guard, WiFi may be used to keeprobot 106 in or near the building. If leaves the range of the wirelesstechnology it may trigger a shutdown, sending of an alert message, orthe like response.

A virtual machine (e.g., system virtual machine or process virtualmachine) is a software implementation of a machine (for example, acomputer) that executes programs like a physical machine. It iscontemplated herein that virtual machine 102, virtual machine 107, orvirtual machine 109 may be a self-contained identity (e.g., policeofficer, cashier, teacher, maid, janitor, musician, etc.) for robot 106.Terms identity or mode are generally used interchangeably herein. Themethods, systems, and apparatuses discussed herein associated withon-demand robot virtualization, intelligent service on-demand robotvirtualization, and robot virtualization leveraging Geo analytics andaugmented reality, in which designated functions (e.g., officer) areconstrained to robot 106, may make for a safer, more reliable, andefficient use of resources. Virtual robots are considered herein aswell. Virtual robot may be digital construction of a physical robot in avirtual world (e.g., Second Life). The virtual robot may interact and beaffected by other digital constructions (e.g., digital doors) just as itwould in a physical world.

Virtual machines can be isolated software containers, operatingindependent of other virtual machines. Such isolation can assist inrealizing virtual-machine-based virtual environments that can executeapplications and provide services with availability, flexibility, andsecurity, in some cases, surpassing those on traditional,non-virtualized systems. Virtual machines can encapsulate a complete setof virtual hardware resources, including an operating system and all itsapplications, inside a software package. Encapsulation can make virtualmachines quite portable and manageable. Indeed, virtual machines can behardware-independent, and can be portably provisioned and deployed onone of multiple different computing devices, operating systems, andenvironments. Indeed, depending on the availability of computing deviceswithin a cloud environment (e.g., server 101) a particular virtualmachine 102 may be provisioned on any one (or multiple) of the devicesincluded in cloud environment 101.

In some instances, a virtual machine manager (not shown) may be providedin connection with a cloud computing system (e.g., 101) (or other systemhosting virtual infrastructure). Virtual machine managers, orhypervisors, may be implemented as software- and/or hardware-based toolsused in the virtualization of hardware assets (i.e., as virtual machines102) on one or more host computing devices (e.g., server 101). A virtualmachine manager may be used to run multiple virtual machines (e.g.,102), including virtual machines with different guest operating systems,on one or more host computers (e.g., server 101). The virtual machinemanager may provide a shared virtual operating platform for multiplevirtual appliances and guest operating systems and enable a plurality ofdifferent virtual machines (and guest operating systems) to beinstantiated and run on computing devices and hardware hosting virtualinfrastructure (e.g., robot 106 or mobile device 108). Further, virtualmachine managers, in some instances may be run natively, or as “baremetal,” directly on host computing devices' hardware to control thehardware and to manage virtual machines provisioned on the host devices.In other instances, “hosted” virtual machine managers may be providedthat is run within the operating system of another host machine,including conventional operating system environments. Although virtualmachine is discussed, the methods and systems are applicable toapplications in one operating system environment. Lastly, a virtualcomponent can be programmed to perform application specific functionsthat may be associated with robot general purpose hardware/software(e.g., microcontroller, sensor, motors, actuators, lighting, or radiofrequency identification (RFID)).

FIG. 3 is a block diagram of network device 300 that may be connected toor comprise a component of system 100 associated with on-demandvirtualization of robots, intelligent service on-demand robotvirtualization, and robot virtualization leveraging Geo analytics andaugmented reality. Network device 300 may comprise hardware or acombination of hardware and software. The functionality to facilitatetelecommunications via a telecommunications network may reside in one orcombination of network devices 300. Network device 300 depicted in FIG.3 may represent or perform functionality of an appropriate networkdevice 300, or combination of network devices 300, such as, for example,a component or various components of a cellular broadcast systemwireless network, a processor, a server, a gateway, a node, a mobileswitching center (MSC), a short message service center (SMSC), anautomatic location function server (ALFS), a gateway mobile locationcenter (GMLC), a radio access network (RAN), a serving mobile locationcenter (SMLC), or the like, or any appropriate combination thereof. Itis emphasized that the block diagram depicted in FIG. 3 is exemplary andnot intended to imply a limitation to a specific implementation orconfiguration. Thus, network device 300 may be implemented in a singledevice or multiple devices (e.g., single server or multiple servers,single gateway or multiple gateways, single controller or multiplecontrollers). Multiple network entities may be distributed or centrallylocated. Multiple network entities may communicate wirelessly, via hardwire, or any appropriate combination thereof.

Network device 300 may comprise a processor 302 and a memory 304 coupledto processor 302. Memory 304 may contain executable instructions that,when executed by processor 302, cause processor 302 to effectuateoperations associated with mapping wireless signal strength. As evidentfrom the description herein, network device 300 is not to be construedas software per se.

In addition to processor 302 and memory 304, network device 300 mayinclude an input/output system 306. Processor 302, memory 304, andinput/output system 306 may be coupled together (coupling not shown inFIG. 3) to allow communications between them. Each portion of networkdevice 300 may comprise circuitry for performing functions associatedwith each respective portion. Thus, each portion may comprise hardware,or a combination of hardware and software. Accordingly, each portion ofnetwork device 300 is not to be construed as software per se.Input/output system 306 may be capable of receiving or providinginformation from or to a communications device or other network entitiesconfigured for telecommunications. For example input/output system 306may include a wireless communications (e.g., 3G/4G/GPS) card.Input/output system 306 may be capable of receiving or sending videoinformation, audio information, control information, image information,data, or any combination thereof. Input/output system 306 may be capableof transferring information with network device 300. In variousconfigurations, input/output system 306 may receive or provideinformation via any appropriate means, such as, for example, opticalmeans (e.g., infrared), electromagnetic means (e.g., RF, Wi-Fi,Bluetooth®, ZigBee®), acoustic means (e.g., speaker, microphone,ultrasonic receiver, ultrasonic transmitter), or a combination thereof.In an example configuration, input/output system 306 may comprise aWi-Fi finder, a two-way GPS chipset or equivalent, or the like, or acombination thereof. Bluetooth, infrared, NFC, and Zigbee are generallyconsidered short range (e.g., few centimeters to 20 meters). WiFi isconsidered medium range (e.g., approximately 100 meters).

Input/output system 306 of network device 300 also may contain acommunication connection 308 that allows network device 300 tocommunicate with other devices, network entities, or the like.Communication connection 308 may comprise communication media.Communication media typically embody computer-readable instructions,data structures, program modules or other data in a modulated datasignal such as a carrier wave or other transport mechanism and includesany information delivery media. By way of example, and not limitation,communication media may include wired media such as a wired network ordirect-wired connection, or wireless media such as acoustic, RF,infrared, or other wireless media. The term computer-readable media asused herein includes both storage media and communication media.Input/output system 306 also may include an input device 310 such askeyboard, mouse, pen, voice input device, or touch input device.Input/output system 306 may also include an output device 312, such as adisplay, speakers, or a printer.

Processor 302 may be capable of performing functions associated withtelecommunications, such as functions for processing broadcast messages,as described herein. For example, processor 302 may be capable of, inconjunction with any other portion of network device 300, determining atype of broadcast message and acting according to the broadcast messagetype or content, as described herein.

Memory 304 of network device 300 may comprise a storage medium having aconcrete, tangible, physical structure. As is known, a signal does nothave a concrete, tangible, physical structure. Memory 304, as well asany computer-readable storage medium described herein, is not to beconstrued as a signal. Memory 304, as well as any computer-readablestorage medium described herein, is not to be construed as a transientsignal. Memory 304, as well as any computer-readable storage mediumdescribed herein, is not to be construed as a propagating signal. Memory304, as well as any computer-readable storage medium described herein,is to be construed as an article of manufacture.

Memory 304 may store any information utilized in conjunction withtelecommunications. Depending upon the exact configuration or type ofprocessor, memory 304 may include a volatile storage 314 (such as sometypes of RAM), a nonvolatile storage 316 (such as ROM, flash memory), ora combination thereof. Memory 304 may include additional storage (e.g.,a removable storage 318 or a non-removable storage 320) including, forexample, tape, flash memory, smart cards, CD-ROM, DVD, or other opticalstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, USB-compatible memory, or any othermedium that can be used to store information and that can be accessed bynetwork device 300. Memory 304 may comprise executable instructionsthat, when executed by processor 302, cause processor 302 to effectuateoperations to map signal strengths in an area of interest.

FIG. 4 illustrates a functional block diagram depicting one example ofan LTE-EPS network architecture 400 that may implement on-demandvirtualization of robots, intelligent service on-demand robotvirtualization, and robot virtualization leveraging Geo analytics andaugmented reality. In particular, the network architecture 400 disclosedherein is referred to as a modified LTE-EPS architecture 400 todistinguish it from a traditional LTE-EPS architecture.

An example modified LTE-EPS architecture 400 is based at least in parton standards developed by the 3rd Generation Partnership Project (3GPP),with information available at www.3gpp.org. In one embodiment, theLTE-EPS network architecture 400 includes an access network 402, a corenetwork 404, e.g., an EPC or Common BackBone (CBB) and one or moreexternal networks 406, sometimes referred to as PDN or peer entities.Different external networks 406 can be distinguished from each other bya respective network identifier, e.g., a label according to DNS namingconventions describing an access point to the PDN. Such labels can bereferred to as Access Point Names (APN). External networks 406 caninclude one or more trusted and non-trusted external networks such as aninternet protocol (IP) network 408, an IP multimedia subsystem (IMS)network 410, and other networks 412, such as a service network, acorporate network, or the like.

Access network 402 can include an LTE network architecture sometimesreferred to as Evolved Universal mobile Telecommunication systemTerrestrial Radio Access (E UTRA) and evolved UMTS Terrestrial RadioAccess Network (E-UTRAN). Broadly, access network 402 can include one ormore communication devices, commonly referred to as UE 414, and one ormore wireless access nodes, or base stations 416 a, 416 b. Duringnetwork operations, at least one base station 416 communicates directlywith UE 414. Base station 416 can be an evolved Node B (e-NodeB), withwhich UE 414 communicates over the air and wirelessly. UEs 414 caninclude, without limitation, wireless devices, e.g., satellitecommunication systems, portable digital assistants (PDAs), laptopcomputers, tablet devices and other mobile devices (e.g., cellulartelephones, smart appliances, and so on). UEs 414 can connect to eNBs416 when UE 414 is within range according to a corresponding wirelesscommunication technology.

UE 414 generally runs one or more applications that engage in a transferof packets between UE 414 and one or more external networks 406. Suchpacket transfers can include one of downlink packet transfers fromexternal network 406 to UE 414, uplink packet transfers from UE 414 toexternal network 406 or combinations of uplink and downlink packettransfers. Applications can include, without limitation, web browsing,VoIP, streaming media and the like. Each application can pose differentQuality of Service (QoS) requirements on a respective packet transfer.Different packet transfers can be served by different bearers withincore network 404, e.g., according to parameters, such as the QoS.

Core network 404 uses a concept of bearers, e.g., EPS bearers, to routepackets, e.g., IP traffic, between a particular gateway in core network404 and UE 414. A bearer refers generally to an IP packet flow with adefined QoS between the particular gateway and UE 414. Access network402, e.g., E UTRAN, and core network 404 together set up and releasebearers as required by the various applications. Bearers can beclassified in at least two different categories: (i) minimum guaranteedbit rate bearers, e.g., for applications, such as VoIP; and (ii)non-guaranteed bit rate bearers that do not require guarantee bit rate,e.g., for applications, such as web browsing.

In one embodiment, the core network 404 includes various networkentities, such as MME 418, SGW 420, Home Subscriber Server (HSS) 422,Policy and Charging Rules Function (PCRF) 424 and PGW 426. In oneembodiment, MME 418 comprises a control node performing a controlsignaling between various equipment and devices in access network 402and core network 404. The protocols running between UE 414 and corenetwork 404 are generally known as Non-Access Stratum (NAS) protocols.

For illustration purposes only, the terms MME 418, SGW 420, HSS 422 andPGW 426, and so on, can be server devices, but may be referred to in thesubject disclosure without the word “server.” It is also understood thatany form of such servers can operate in a device, system, component, orother form of centralized or distributed hardware and software. It isfurther noted that these terms and other terms such as bearer pathsand/or interfaces are terms that can include features, methodologies,and/or fields that may be described in whole or in part by standardsbodies such as the 3GPP. It is further noted that some or allembodiments of the subject disclosure may in whole or in part modify,supplement, or otherwise supersede final or proposed standards publishedand promulgated by 3GPP.

According to traditional implementations of LTE-EPS architectures, SGW420 routes and forwards all user data packets. SGW 420 also acts as amobility anchor for user plane operation during handovers between basestations, e.g., during a handover from first eNB 416 a to second eNB 416b as may be the result of UE 414 moving from one area of coverage, e.g.,cell, to another. SGW 420 can also terminate a downlink data path, e.g.,from external network 406 to UE 414 in an idle state, and trigger apaging operation when downlink data arrives for UE 414. SGW 420 can alsobe configured to manage and store a context for UE 414, e.g., includingone or more of parameters of the IP bearer service and network internalrouting information. In addition, SGW 420 can perform administrativefunctions, e.g., in a visited network, such as collecting informationfor charging (e.g., the volume of data sent to or received from theuser), and/or replicate user traffic, e.g., to support a lawfulinterception. SGW 420 also serves as the mobility anchor forinterworking with other 3GPP technologies such as universal mobiletelecommunication system (UMTS).

At any given time, UE 414 is generally in one of three different states:detached, idle, or active. The detached state is typically a transitorystate in which UE 414 is powered on but is engaged in a process ofsearching and registering with network 402. In the active state, UE 414is registered with access network 402 and has established a wirelessconnection, e.g., radio resource control (RRC) connection, with eNB 416.Whether UE 414 is in an active state can depend on the state of a packetdata session, and whether there is an active packet data session. In theidle state, UE 414 is generally in a power conservation state in whichUE 414 typically does not communicate packets. When UE 414 is idle, SGW420 can terminate a downlink data path, e.g., from one peer entity 406,and triggers paging of UE 414 when data arrives for UE 414. If UE 414responds to the page, SGW 420 can forward the IP packet to eNB 416 a.

HSS 422 can manage subscription-related information for a user of UE414. For example, tHSS 422 can store information such as authorizationof the user, security requirements for the user, quality of service(QoS) requirements for the user, etc. HSS 422 can also hold informationabout external networks 406 to which the user can connect, e.g., in theform of an APN of external networks 406. For example, MME 418 cancommunicate with HSS 422 to determine if UE 414 is authorized toestablish a call, e.g., a voice over IP (VoIP) call before the call isestablished.

PCRF 424 can perform QoS management functions and policy control. PCRF424 is responsible for policy control decision-making, as well as forcontrolling the flow-based charging functionalities in a policy controlenforcement function (PCEF), which resides in PGW 426. PCRF 424 providesthe QoS authorization, e.g., QoS class identifier and bit rates thatdecide how a certain data flow will be treated in the PCEF and ensuresthat this is in accordance with the user's subscription profile.

PGW 426 can provide connectivity between the UE 414 and one or more ofthe external networks 406. In illustrative network architecture 400, PGW426 can be responsible for IP address allocation for UE 414, as well asone or more of QoS enforcement and flow-based charging, e.g., accordingto rules from the PCRF 424. PGW 426 is also typically responsible forfiltering downlink user IP packets into the different QoS-based bearers.In at least some embodiments, such filtering can be performed based ontraffic flow templates. PGW 426 can also perform QoS enforcement, e.g.,for guaranteed bit rate bearers. PGW 426 also serves as a mobilityanchor for interworking with non-3GPP technologies such as CDMA2000.

Within access network 402 and core network 404 there may be variousbearer paths/interfaces, e.g., represented by solid lines 428 and 430.Some of the bearer paths can be referred to by a specific label. Forexample, solid line 428 can be considered an S1-U bearer and solid line432 can be considered an S5/S8 bearer according to LTE-EPS architecturestandards. Without limitation, reference to various interfaces, such asS1, X2, S5, S8, S11 refer to EPS interfaces. In some instances, suchinterface designations are combined with a suffix, e.g., a “U” or a “C”to signify whether the interface relates to a “User plane” or a “Controlplane.” In addition, the core network 404 can include various signalingbearer paths/interfaces, e.g., control plane paths/interfacesrepresented by dashed lines 430, 434, 436, and 438. Some of thesignaling bearer paths may be referred to by a specific label. Forexample, dashed line 430 can be considered as an S1-MME signalingbearer, dashed line 434 can be considered as an S11 signaling bearer anddashed line 436 can be considered as an S6a signaling bearer, e.g.,according to LTE-EPS architecture standards. The above bearer paths andsignaling bearer paths are only illustrated as examples and it should benoted that additional bearer paths and signaling bearer paths may existthat are not illustrated.

Also shown is a novel user plane path/interface, referred to as theS1-U+ interface 466. In the illustrative example, the S1-U+ user planeinterface extends between the eNB 416 a and PGW 426. Notably, S1-U+path/interface does not include SGW 420, a node that is otherwiseinstrumental in configuring and/or managing packet forwarding betweeneNB 416 a and one or more external networks 406 by way of PGW 426. Asdisclosed herein, the S1-U+ path/interface facilitates autonomouslearning of peer transport layer addresses by one or more of the networknodes to facilitate a self-configuring of the packet forwarding path. Inparticular, such self-configuring can be accomplished during handoversin most scenarios so as to reduce any extra signaling load on the S/PGWs420, 426 due to excessive handover events.

In some embodiments, PGW 426 is coupled to storage device 440, shown inphantom. Storage device 440 can be integral to one of the network nodes,such as PGW 426, for example, in the form of internal memory and/or diskdrive. It is understood that storage device 440 can include registerssuitable for storing address values. Alternatively or in addition,storage device 440 can be separate from PGW 426, for example, as anexternal hard drive, a flash drive, and/or network storage.

Storage device 440 selectively stores one or more values relevant to theforwarding of packet data. For example, storage device 440 can storeidentities and/or addresses of network entities, such as any of networknodes 418, 420, 422, 424, and 426, eNBs 416 and/or UE 414. In theillustrative example, storage device 440 includes a first storagelocation 442 and a second storage location 444. First storage location442 can be dedicated to storing a Currently Used Downlink address value442. Likewise, second storage location 444 can be dedicated to storing aDefault Downlink Forwarding address value 444. PGW 426 can read and/orwrite values into either of storage locations 442, 444, for example,managing Currently Used Downlink Forwarding address value 442 andDefault Downlink Forwarding address value 444 as disclosed herein.

In some embodiments, the Default Downlink Forwarding address for eachEPS bearer is the SGW S5-U address for each EPS Bearer. The CurrentlyUsed Downlink Forwarding address” for each EPS bearer in PGW 426 can beset every time when PGW 426 receives an uplink packet, e.g., a GTP-Uuplink packet, with a new source address for a corresponding EPS bearer.When UE 414 is in an idle state, the “Current Used Downlink Forwardingaddress” field for each EPS bearer of UE 414 can be set to a “null” orother suitable value.

In some embodiments, the Default Downlink Forwarding address is onlyupdated when PGW 426 receives a new SGW S5-U address in a predeterminedmessage or messages. For example, the Default Downlink Forwardingaddress is only updated when PGW 426 receives one of a Create SessionRequest, Modify Bearer Request and Create Bearer Response messages fromSGW 420.

As values 442, 444 can be maintained and otherwise manipulated on a perbearer basis, it is understood that the storage locations can take theform of tables, spreadsheets, lists, and/or other data structuresgenerally well understood and suitable for maintaining and/or otherwisemanipulate forwarding addresses on a per bearer basis.

It should be noted that access network 402 and core network 404 areillustrated in a simplified block diagram in FIG. 4. In other words,either or both of access network 402 and the core network 404 caninclude additional network elements that are not shown, such as variousrouters, switches and controllers. In addition, although FIG. 4illustrates only a single one of each of the various network elements,it should be noted that access network 402 and core network 404 caninclude any number of the various network elements. For example, corenetwork 404 can include a pool (i.e., more than one) of MMEs 418, SGWs420 or PGWs 426.

In the illustrative example, data traversing a network path between UE414, eNB 416 a, SGW 420, PGW 426 and external network 406 may beconsidered to constitute data transferred according to an end-to-end IPservice. However, for the present disclosure, to properly performestablishment management in LTE-EPS network architecture 400, the corenetwork, data bearer portion of the end-to-end IP service is analyzed.

An establishment may be defined herein as a connection set up requestbetween any two elements within LTE-EPS network architecture 400. Theconnection set up request may be for user data or for signaling. Afailed establishment may be defined as a connection set up request thatwas unsuccessful. A successful establishment may be defined as aconnection set up request that was successful.

In one embodiment, a data bearer portion comprises a first portion(e.g., a data radio bearer 446) between UE 414 and eNB 416 a, a secondportion (e.g., an S1 data bearer 428) between eNB 416 a and SGW 420, anda third portion (e.g., an S5/S8 bearer 432) between SGW 420 and PGW 426.Various signaling bearer portions are also illustrated in FIG. 4. Forexample, a first signaling portion (e.g., a signaling radio bearer 448)between UE 414 and eNB 416 a, and a second signaling portion (e.g., S1signaling bearer 430) between eNB 416 a and MME 418.

In at least some embodiments, the data bearer can include tunneling,e.g., IP tunneling, by which data packets can be forwarded in anencapsulated manner, between tunnel endpoints. Tunnels, or tunnelconnections can be identified in one or more nodes of network 400, e.g.,by one or more of tunnel endpoint identifiers, an IP address and a userdatagram protocol port number. Within a particular tunnel connection,payloads, e.g., packet data, which may or may not include protocolrelated information, are forwarded between tunnel endpoints.

An example of first tunnel solution 450 includes a first tunnel 452 abetween two tunnel endpoints 454 a and 456 a, and a second tunnel 452 bbetween two tunnel endpoints 454 b and 456 b. In the illustrativeexample, first tunnel 452 a is established between eNB 416 a and SGW420. Accordingly, first tunnel 452 a includes a first tunnel endpoint454 a corresponding to an S1-U address of eNB 416 a (referred to hereinas the eNB S1-U address), and second tunnel endpoint 456 a correspondingto an S1-U address of SGW 420 (referred to herein as the SGW S1-Uaddress). Likewise, second tunnel 452 b includes first tunnel endpoint454 b corresponding to an S5-U address of SGW 420 (referred to herein asthe SGW S5-U address), and second tunnel endpoint 456 b corresponding toan S5-U address of PGW 426 (referred to herein as the PGW S5-U address).

In at least some embodiments, first tunnel solution 450 is referred toas a two tunnel solution, e.g., according to the GPRS Tunneling ProtocolUser Plane (GTPv1-U based), as described in 3GPP specification TS29.281, incorporated herein in its entirety. It is understood that oneor more tunnels are permitted between each set of tunnel end points. Forexample, each subscriber can have one or more tunnels, e.g., one foreach PDP context that they have active, as well as possibly havingseparate tunnels for specific connections with different quality ofservice requirements, and so on.

An example of second tunnel solution 458 includes a single or directtunnel 460 between tunnel endpoints 462 and 464. In the illustrativeexample, direct tunnel 460 is established between eNB 416 a and PGW 426,without subjecting packet transfers to processing related to SGW 420.Accordingly, direct tunnel 460 includes first tunnel endpoint 462corresponding to the eNB S1-U address, and second tunnel endpoint 464corresponding to the PGW S5-U address. Packet data received at eitherend can be encapsulated into a payload and directed to the correspondingaddress of the other end of the tunnel. Such direct tunneling avoidsprocessing, e.g., by SGW 420 that would otherwise relay packets betweenthe same two endpoints, e.g., according to a protocol, such as the GTP-Uprotocol.

In some scenarios, direct tunneling solution 458 can forward user planedata packets between eNB 416 a and PGW 426, by way of SGW 420. That is,SGW 420 can serve a relay function, by relaying packets between twotunnel endpoints 416 a, 426. In other scenarios, direct tunnelingsolution 458 can forward user data packets between eNB 416 a and PGW426, by way of the S1 U+ interface, thereby bypassing SGW 420.

Generally, UE 414 can have one or more bearers at any one time. Thenumber and types of bearers can depend on applications, defaultrequirements, and so on. It is understood that the techniques disclosedherein, including the configuration, management and use of varioustunnel solutions 450, 458, can be applied to the bearers on anindividual bases. That is, if user data packets of one bearer, say abearer associated with a VoIP service of UE 414, then the forwarding ofall packets of that bearer are handled in a similar manner. Continuingwith this example, the same UE 414 can have another bearer associatedwith it through the same eNB 416 a. This other bearer, for example, canbe associated with a relatively low rate data session forwarding userdata packets through core network 404 simultaneously with the firstbearer. Likewise, the user data packets of the other bearer are alsohandled in a similar manner, without necessarily following a forwardingpath or solution of the first bearer. Thus, one of the bearers may beforwarded through direct tunnel 458; whereas, another one of the bearersmay be forwarded through a two-tunnel solution 450.

FIG. 5 depicts an exemplary diagrammatic representation of a machine inthe form of a computer system 500 within which a set of instructions,when executed, may cause the machine to perform any one or more of themethods for on-demand virtualization of robots, intelligent serviceon-demand robot virtualization, and robot virtualization leveraging Geoanalytics and augmented reality. One or more instances of the machinecan operate, for example, as mobile device 108, robot 106, server 101,processor 302, UE 414, eNB 416, MME 418, SGW 420, HSS 422, PCRF 424, PGW426 and other devices of FIG. 1. In some embodiments, the machine may beconnected (e.g., using a network 502) to other machines. In a networkeddeployment, the machine may operate in the capacity of a server or aclient user machine in a server-client user network environment, or as apeer machine in a peer-to-peer (or distributed) network environment.

The machine may comprise a server computer, a client user computer, apersonal computer (PC), a tablet, a smart phone, a laptop computer, adesktop computer, a control system, a network router, switch or bridge,or any machine capable of executing a set of instructions (sequential orotherwise) that specify actions to be taken by that machine. It will beunderstood that a communication device of the subject disclosureincludes broadly any electronic device that provides voice, video ordata communication. Further, while a single machine is illustrated, theterm “machine” shall also be taken to include any collection of machinesthat individually or jointly execute a set (or multiple sets) ofinstructions to perform any one or more of the methods discussed herein.

Computer system 500 may include a processor (or controller) 504 (e.g., acentral processing unit (CPU)), a graphics processing unit (GPU, orboth), a main memory 506 and a static memory 508, which communicate witheach other via a bus 510. The computer system 500 may further include adisplay unit 512 (e.g., a liquid crystal display (LCD), a flat panel, ora solid state display). Computer system 500 may include an input device514 (e.g., a keyboard), a cursor control device 516 (e.g., a mouse), adisk drive unit 518, a signal generation device 520 (e.g., a speaker orremote control) and a network interface device 522. In distributedenvironments, the embodiments described in the subject disclosure can beadapted to utilize multiple display units 512 controlled by two or morecomputer systems 500. In this configuration, presentations described bythe subject disclosure may in part be shown in a first of display units512, while the remaining portion is presented in a second of displayunits 512.

The disk drive unit 518 may include a tangible computer-readable storagemedium 526 on which is stored one or more sets of instructions (e.g.,software 524) embodying any one or more of the methods or functionsdescribed herein, including those methods illustrated above.Instructions 524 may also reside, completely or at least partially,within main memory 506, static memory 508, or within processor 504during execution thereof by the computer system 500. Main memory 506 andprocessor 504 also may constitute tangible computer-readable storagemedia.

As shown in FIG. 6, telecommunication system 600 may include wirelesstransmit/receive units (WTRUs) 602, a RAN 604, a core network 606, apublic switched telephone network (PSTN) 608, the Internet 610, or othernetworks 612, though it will be appreciated that the disclosed examplescontemplate any number of WTRUs, base stations, networks, or networkelements. Each WTRU 602 may be any type of device configured to operateor communicate in a wireless environment. For example, a WTRU maycomprise robot 106, mobile device 108, network device 300, or the like,or any combination thereof. By way of example, WTRUs 602 may beconfigured to transmit or receive wireless signals and may include a UE,a mobile station, a fixed or mobile subscriber unit, a pager, a cellulartelephone, a PDA, a smartphone, a laptop, a netbook, a personalcomputer, a wireless sensor, consumer electronics, or the like. It isunderstood that the exemplary devices above may overlap in theirfunctionality and the terms are not necessarily mutually exclusive.WTRUs 602 may be configured to transmit or receive wireless signals overan air interface 614.

Telecommunication system 600 may also include one or more base stations616. Each of base stations 616 may be any type of device configured towirelessly interface with at least one of the WTRUs 602 to facilitateaccess to one or more communication networks, such as core network 606,PTSN 608, Internet 610, or other networks 612. By way of example, basestations 616 may be a base transceiver station (BTS), a Node-B, an eNodeB, a Home Node B, a Home eNode B, a site controller, an access point(AP), a wireless router, or the like. While base stations 616 are eachdepicted as a single element, it will be appreciated that base stations616 may include any number of interconnected base stations or networkelements.

RAN 604 may include one or more base stations 616, along with othernetwork elements (not shown), such as a base station controller (BSC), aradio network controller (RNC), or relay nodes. One or more basestations 616 may be configured to transmit or receive wireless signalswithin a particular geographic region, which may be referred to as acell (not shown). The cell may further be divided into cell sectors. Forexample, the cell associated with base station 616 may be divided intothree sectors such that base station 616 may include three transceivers:one for each sector of the cell. In another example, base station 616may employ multiple-input multiple-output (MIMO) technology and,therefore, may utilize multiple transceivers for each sector of thecell.

Base stations 616 may communicate with one or more of WTRUs 602 over airinterface 614, which may be any suitable wireless communication link(e.g., RF, microwave, infrared (IR), ultraviolet (UV), or visiblelight). Air interface 614 may be established using any suitable radioaccess technology (RAT).

More specifically, as noted above, telecommunication system 600 may be amultiple access system and may employ one or more channel accessschemes, such as CDMA, TDMA, FDMA, OFDMA, SC-FDMA, or the like. Forexample, base station 616 in RAN 604 and WTRUs 602 connected to RAN 604may implement a radio technology such as Universal MobileTelecommunications System (UMTS) Terrestrial Radio Access (UTRA) thatmay establish air interface 614 using wideband CDMA (WCDMA). WCDMA mayinclude communication protocols, such as High-Speed Packet Access (HSPA)or Evolved HSPA (HSPA+). HSPA may include High-Speed Downlink PacketAccess (HSDPA) or High-Speed Uplink Packet Access (HSUPA).

As another example base station 616 and WTRUs 602 that are connected toRAN 604 may implement a radio technology such as Evolved UMTSTerrestrial Radio Access (E-UTRA), which may establish air interface 614using LTE or LTE-Advanced (LTE-A).

Optionally base station 616 and WTRUs 602 connected to RAN 604 mayimplement radio technologies such as IEEE 602.16 (i.e., WorldwideInteroperability for Microwave Access (WiMAX)), CDMA2000, CDMA2000 1×,CDMA2000 EV-DO, Interim Standard 2000 (IS-2000), Interim Standard 95(IS-95), Interim Standard 856 (IS-856), GSM, Enhanced Data rates for GSMEvolution (EDGE), GSM EDGE (GERAN), or the like.

Base station 616 may be a wireless router, Home Node B, Home eNode B, oraccess point, for example, and may utilize any suitable RAT forfacilitating wireless connectivity in a localized area, such as a placeof business, a home, a vehicle, a campus, or the like. For example, basestation 616 and associated WTRUs 602 may implement a radio technologysuch as IEEE 602.11 to establish a wireless local area network (WLAN).As another example, base station 616 and associated WTRUs 602 mayimplement a radio technology such as IEEE 602.15 to establish a wirelesspersonal area network (WPAN). In yet another example, base station 616and associated WTRUs 602 may utilize a cellular-based RAT (e.g., WCDMA,CDMA2000, GSM, LTE, LTE-A, etc.) to establish a picocell or femtocell.As shown in FIG. 6, base station 616 may have a direct connection toInternet 610. Thus, base station 616 may not be required to accessInternet 610 via core network 606.

RAN 604 may be in communication with core network 606, which may be anytype of network configured to provide voice, data, applications, and/orvoice over internet protocol (VoIP) services to one or more WTRUs 602.For example, core network 606 may provide call control, billingservices, mobile location-based services, pre-paid calling, Internetconnectivity, video distribution or high-level security functions, suchas user authentication. Although not shown in FIG. 6, it will beappreciated that RAN 604 or core network 606 may be in direct orindirect communication with other RANs that employ the same RAT as RAN604 or a different RAT. For example, in addition to being connected toRAN 604, which may be utilizing an E-UTRA radio technology, core network606 may also be in communication with another RAN (not shown) employinga GSM radio technology.

Core network 606 may also serve as a gateway for WTRUs 602 to accessPSTN 608, Internet 610, or other networks 612. PSTN 608 may includecircuit-switched telephone networks that provide plain old telephoneservice (POTS). For LTE core networks, core network 606 may use IMS core614 to provide access to PSTN 608. Internet 610 may include a globalsystem of interconnected computer networks or devices that use commoncommunication protocols, such as the transmission control protocol(TCP), user datagram protocol (UDP), or IP in the TCP/IP internetprotocol suite. Other networks 612 may include wired or wirelesscommunications networks owned or operated by other service providers.For example, other networks 612 may include another core networkconnected to one or more RANs, which may employ the same RAT as RAN 604or a different RAT.

Some or all WTRUs 602 in telecommunication system 600 may includemulti-mode capabilities. That is, WTRUs 602 may include multipletransceivers for communicating with different wireless networks overdifferent wireless links. For example, one or more WTRUs 602 may beconfigured to communicate with base station 616, which may employ acellular-based radio technology, and with base station 616, which mayemploy an IEEE 802 radio technology.

FIG. 7 is an example system 400 including RAN 604 and core network 606that may implement on-demand virtualization of robots, intelligentservice on-demand robot virtualization, and robot virtualizationleveraging Geo analytics and augmented reality. As noted above, RAN 604may employ an E-UTRA radio technology to communicate with WTRUs 602 overair interface 614. RAN 604 may also be in communication with corenetwork 606.

RAN 604 may include any number of eNode-Bs 702 while remainingconsistent with the disclosed technology. One or more eNode-Bs 702 mayinclude one or more transceivers for communicating with the WTRUs 602over air interface 614. Optionally, eNode-Bs 702 may implement MIMOtechnology. Thus, one of eNode-Bs 702, for example, may use multipleantennas to transmit wireless signals to, or receive wireless signalsfrom, one of WTRUs 602.

Each of eNode-Bs 702 may be associated with a particular cell (notshown) and may be configured to handle radio resource managementdecisions, handover decisions, scheduling of users in the uplink ordownlink, or the like. As shown in FIG. 7 eNode-Bs 702 may communicatewith one another over an X2 interface.

Core network 606 shown in FIG. 7 may include a mobility managementgateway or entity (MME) 704, a serving gateway 706, or a packet datanetwork (PDN) gateway 708. While each of the foregoing elements aredepicted as part of core network 606, it will be appreciated that anyone of these elements may be owned or operated by an entity other thanthe core network operator.

MME 704 may be connected to each of eNode-Bs 702 in RAN 604 via an S1interface and may serve as a control node. For example, MME 704 may beresponsible for authenticating users of WTRUs 602, bearer activation ordeactivation, selecting a particular serving gateway during an initialattach of WTRUs 602, or the like. MME 704 may also provide a controlplane function for switching between RAN 604 and other RANs (not shown)that employ other radio technologies, such as GSM or WCDMA.

Serving gateway 706 may be connected to each of eNode-Bs 702 in RAN 604via the S1 interface. Serving gateway 706 may generally route or forwarduser data packets to or from the WTRUs 602. Serving gateway 706 may alsoperform other functions, such as anchoring user planes duringinter-eNode B handovers, triggering paging when downlink data isavailable for WTRUs 602, managing or storing contexts of WTRUs 602, orthe like.

Serving gateway 706 may also be connected to PDN gateway 708, which mayprovide WTRUs 602 with access to packet-switched networks, such asInternet 610, to facilitate communications between WTRUs 602 andIP-enabled devices.

Core network 606 may facilitate communications with other networks. Forexample, core network 606 may provide WTRUs 602 with access tocircuit-switched networks, such as PSTN 608, such as through IMS core614, to facilitate communications between WTRUs 602 and traditionalland-line communications devices. In addition, core network 606 mayprovide the WTRUs 602 with access to other networks 612, which mayinclude other wired or wireless networks that are owned or operated byother service providers.

FIG. 8 depicts an overall block diagram of an example packet-basedmobile cellular network environment, such as a GPRS network, that mayimplement on-demand virtualization of robots, intelligent serviceon-demand robot virtualization, and robot virtualization leveraging Geoanalytics and augmented reality as described herein. In the examplepacket-based mobile cellular network environment shown in FIG. 8, thereare a plurality of base station subsystems (BSS) 800 (only one isshown), each of which comprises a base station controller (BSC) 802serving a plurality of BTSs, such as BTSs 804, 806, 808. BTSs 804, 806,808 are the access points where users of packet-based mobile devicesbecome connected to the wireless network. In example fashion, the packettraffic originating from mobile devices is transported via anover-the-air interface to BTS 808, and from BTS 808 to BSC 802. Basestation subsystems, such as BSS 800, are a part of internal frame relaynetwork 810 that can include a service GPRS support nodes (SGSN), suchas SGSN 812 or SGSN 814. Each SGSN 812, 814 is connected to an internalpacket network 816 through which SGSN 812, 814 can route data packets toor from a plurality of gateway GPRS support nodes (GGSN) 818, 820, 822.As illustrated, SGSN 814 and GGSNs 818, 820, 822 are part of internalpacket network 816. GGSNs 818, 820, 822 mainly provide an interface toexternal IP networks such as PLMN 824, corporate intranets/internets826, or Fixed-End System (FES) or the public Internet 828. Asillustrated, subscriber corporate network 826 may be connected to GGSN820 via a firewall 830. PLMN 824 may be connected to GGSN 820 via aboarder gateway router (BGR) 832. A Remote Authentication Dial-In UserService (RADIUS) server 834 may be used for caller authentication when auser calls corporate network 826.

Generally, there may be a several cell sizes in a network, referred toas macro, micro, pico, femto or umbrella cells. The coverage area ofeach cell is different in different environments. Macro cells can beregarded as cells in which the base station antenna is installed in amast or a building above average roof top level. Micro cells are cellswhose antenna height is under average rooftop level. Micro cells aretypically used in urban areas. Pico cells are small cells having adiameter of a few dozen meters. Pico cells are used mainly indoors.Femto cells have the same size as pico cells, but a smaller transportcapacity. Femto cells are used indoors, in residential or small businessenvironments. On the other hand, umbrella cells are used to covershadowed regions of smaller cells and fill in gaps in coverage betweenthose cells.

FIG. 9 illustrates an architecture of a typical GPRS network 900 thatmay implement on-demand virtualization of robots, intelligent serviceon-demand robot virtualization, and robot virtualization leveraging Geoanalytics and augmented reality as described herein. The architecturedepicted in FIG. 9 may be segmented into four groups: users 902, RAN904, core network 906, and interconnect network 908. Users 902 comprisea plurality of end users, who each may use one or more devices 910. Notethat device 910 is referred to as a mobile subscriber (MS) in thedescription of network shown in FIG. 9. In an example, device 910comprises a communications device (e.g., mobile device 108, robot 106,mobile positioning center 116, network device 300, any of detecteddevices 500, second device 508, access device 604, access device 606,access device 608, access device 610 or the like, or any combinationthereof). Radio access network 904 comprises a plurality of BSSs such asBSS 912, which includes a BTS 914 and a BSC 916. Core network 906 mayinclude a host of various network elements. As illustrated in FIG. 9,core network 906 may comprise MSC 918, service control point (SCP) 920,gateway MSC (GMSC) 922, SGSN 924, home location register (HLR) 926,authentication center (AuC) 928, domain name system (DNS) server 930,and GGSN 932. Interconnect network 908 may also comprise a host ofvarious networks or other network elements. As illustrated in FIG. 9,interconnect network 908 comprises a PSTN 934, an FES/Internet 936, afirewall 1038, or a corporate network 940.

An MSC can be connected to a large number of BSCs. At MSC 918, forinstance, depending on the type of traffic, the traffic may be separatedin that voice may be sent to PSTN 934 through GMSC 922, or data may besent to SGSN 924, which then sends the data traffic to GGSN 932 forfurther forwarding.

When MSC 918 receives call traffic, for example, from BSC 916, it sendsa query to a database hosted by SCP 920, which processes the request andissues a response to MSC 918 so that it may continue call processing asappropriate.

HLR 926 is a centralized database for users to register to the GPRSnetwork. HLR 926 stores static information about the subscribers such asthe International Mobile Subscriber Identity (IMSI), subscribedservices, or a key for authenticating the subscriber. HLR 926 alsostores dynamic subscriber information such as the current location ofthe MS. Associated with HLR 926 is AuC 928, which is a database thatcontains the algorithms for authenticating subscribers and includes theassociated keys for encryption to safeguard the user input forauthentication.

In the following, depending on context, “mobile subscriber” or “MS”sometimes refers to the end user and sometimes to the actual portabledevice, such as a mobile device, used by an end user of the mobilecellular service. When a mobile subscriber turns on his or her mobiledevice, the mobile device goes through an attach process by which themobile device attaches to an SGSN of the GPRS network. In FIG. 9, whenMS 910 initiates the attach process by turning on the networkcapabilities of the mobile device, an attach request is sent by MS 910to SGSN 924. The SGSN 924 queries another SGSN, to which MS 910 wasattached before, for the identity of MS 910. Upon receiving the identityof MS 910 from the other SGSN, SGSN 924 requests more information fromMS 910. This information is used to authenticate MS 910 together withthe information provided by HLR 926. Once verified, SGSN 924 sends alocation update to HLR 926 indicating the change of location to a newSGSN, in this case SGSN 924. HLR 926 notifies the old SGSN, to which MS910 was attached before, to cancel the location process for MS 910. HLR926 then notifies SGSN 924 that the location update has been performed.At this time, SGSN 924 sends an Attach Accept message to MS 910, whichin turn sends an Attach Complete message to SGSN 924.

Next, MS 910 establishes a user session with the destination network,corporate network 940, by going through a Packet Data Protocol (PDP)activation process. Briefly, in the process, MS 910 requests access tothe Access Point Name (APN), for example, UPS.com, and SGSN 924 receivesthe activation request from MS 910. SGSN 924 then initiates a DNS queryto learn which GGSN 932 has access to the UPS.com APN. The DNS query issent to a DNS server within core network 906, such as DNS server 930,which is provisioned to map to one or more GGSNs in core network 906.Based on the APN, the mapped GGSN 932 can access requested corporatenetwork 940. SGSN 924 then sends to GGSN 932 a Create PDP ContextRequest message that contains necessary information. GGSN 932 sends aCreate PDP Context Response message to SGSN 924, which then sends anActivate PDP Context Accept message to MS 910.

Once activated, data packets of the call made by MS 910 can then gothrough RAN 904, core network 906, and interconnect network 908, in aparticular FES/Internet 936 and firewall 1038, to reach corporatenetwork 940.

FIG. 10 illustrates a PLMN block diagram view of an example architectureof a telecommunications system that may be used by system 100 toimplement on-demand virtualization of robots, intelligent serviceon-demand robot virtualization, and robot virtualization leveraging Geoanalytics and augmented reality. In FIG. 10, solid lines may representuser traffic signals, and dashed lines may represent support signaling.MS 1002 is the physical equipment used by the PLMN subscriber. Forexample, robot 106, mobile device 108, network device 300, the like, orany combination thereof may serve as MS 1002. MS 1002 may be one of, butnot limited to, a cellular telephone, a cellular telephone incombination with another electronic device or any other wireless mobilecommunication device.

MS 1002 may communicate wirelessly with BSS 1004. BSS 1004 contains BSC1006 and a BTS 1008. BSS 1004 may include a single BSC 1006/BTS 1008pair (base station) or a system of BSC/BTS pairs that are part of alarger network. BSS 1004 is responsible for communicating with MS 1002and may support one or more cells. BSS 1004 is responsible for handlingcellular traffic and signaling between MS 1002 and a core network 1010.Typically, BSS 1004 performs functions that include, but are not limitedto, digital conversion of speech channels, allocation of channels tomobile devices, paging, or transmission/reception of cellular signals.

Additionally, MS 1002 may communicate wirelessly with RNS 1012. RNS 1012contains a Radio Network Controller (RNC) 1014 and one or more Nodes B1016. RNS 1012 may support one or more cells. RNS 1012 may also includeone or more RNC 1014/Node B 1016 pairs or alternatively a single RNC1014 may manage multiple Nodes B 1016. RNS 1012 is responsible forcommunicating with MS 1002 in its geographically defined area. RNC 1014is responsible for controlling Nodes B 1016 that are connected to it andis a control element in a UMTS radio access network. RNC 1014 performsfunctions such as, but not limited to, load control, packet scheduling,handover control, security functions, or controlling MS 1002 access tocore network 1010.

An E-UTRA Network (E-UTRAN) 1018 is a RAN that provides wireless datacommunications for MS 1002 and UE 1024. E-UTRAN 1018 provides higherdata rates than traditional UMTS. It is part of the LTE upgrade formobile networks, and later releases meet the requirements of theInternational Mobile Telecommunications (IMT) Advanced and are commonlyknown as a 4G networks. E-UTRAN 1018 may include of series of logicalnetwork components such as E-UTRAN Node B (eNB) 1020 and E-UTRAN Node B(eNB) 1022. E-UTRAN 1018 may contain one or more eNBs. User equipment(UE) 1024 may be any mobile device capable of connecting to E-UTRAN 1018including, but not limited to, a personal computer, laptop, mobilephone, wireless router, or other device capable of wireless connectivityto E-UTRAN 1018. The improved performance of the E-UTRAN 1018 relativeto a typical UMTS network allows for increased bandwidth, spectralefficiency, and functionality including, but not limited to, voice,high-speed applications, large data transfer or IPTV, while stillallowing for full mobility.

Typically MS 1002 may communicate with any or all of BSS 1004, RNS 1012,or E-UTRAN 1018. In a illustrative system, each of BSS 1004, RNS 1012,and E-UTRAN 1018 may provide MS 1002 with access to core network 1010.Core network 1010 may include of a series of devices that route data andcommunications between end users. Core network 1010 may provide networkservice functions to users in the circuit switched (CS) domain or thepacket switched (PS) domain. The CS domain refers to connections inwhich dedicated network resources are allocated at the time ofconnection establishment and then released when the connection isterminated. The PS domain refers to communications and data transfersthat make use of autonomous groupings of bits called packets. Eachpacket may be routed, manipulated, processed or handled independently ofall other packets in the PS domain and does not require dedicatednetwork resources.

The circuit-switched MGW function (CS-MGW) 1026 is part of core network1010, and interacts with VLR/MSC server 1028 and GMSC server 1030 inorder to facilitate core network 1010 resource control in the CS domain.Functions of CS-MGW 1026 include, but are not limited to, mediaconversion, bearer control, payload processing or other mobile networkprocessing such as handover or anchoring. CS-MGW 1026 may receiveconnections to MS 1002 through BSS 1004 or RNS 1012.

SGSN 1032 stores subscriber data regarding MS 1002 in order tofacilitate network functionality. SGSN 1032 may store subscriptioninformation such as, but not limited to, the IMSI, temporary identities,or PDP addresses. SGSN 1032 may also store location information such as,but not limited to, GGSN address for each GGSN 1034 where an active PDPexists. GGSN 1034 may implement a location register function to storesubscriber data it receives from SGSN 1032 such as subscription orlocation information.

Serving gateway (S-GW) 1036 is an interface which provides connectivitybetween E-UTRAN 1018 and core network 1010. Functions of S-GW 1036include, but are not limited to, packet routing, packet forwarding,transport level packet processing, or user plane mobility anchoring forinter-network mobility. PCRF 1038 uses information gathered from P-GW1036, as well as other sources, to make applicable policy and chargingdecisions related to data flows, network resources or other networkadministration functions. PDN gateway (PDN-GW) 1040 may provideuser-to-services connectivity functionality including, but not limitedto, GPRS/EPC network anchoring, bearer session anchoring and control, orIP address allocation for PS domain connections.

HSS 1042 is a database for user information and stores subscription dataregarding MS 1002 or UE 1024 for handling calls or data sessions.Networks may contain one HSS 1042 or more if additional resources arerequired. Example data stored by HSS 1042 include, but is not limitedto, user identification, numbering or addressing information, securityinformation, or location information. HSS 1042 may also provide call orsession establishment procedures in both the PS and CS domains.

VLR/MSC Server 1028 provides user location functionality. When MS 1002enters a new network location, it begins a registration procedure. A MSCserver for that location transfers the location information to the VLRfor the area. A VLR and MSC server may be located in the same computingenvironment, as is shown by VLR/MSC server 1028, or alternatively may belocated in separate computing environments. A VLR may contain, but isnot limited to, user information such as the IMSI, the Temporary MobileStation Identity (TMSI), the Local Mobile Station Identity (LMSI), thelast known location of the mobile station, or the SGSN where the mobilestation was previously registered. The MSC server may containinformation such as, but not limited to, procedures for MS 1002registration or procedures for handover of MS 1002 to a differentsection of core network 1010. GMSC server 1030 may serve as a connectionto alternate GMSC servers for other MSs in larger networks.

EIR 1044 is a logical element which may store the IMEI for MS 1002. Userequipment may be classified as either “white listed” or “black listed”depending on its status in the network. If MS 1002 is stolen and put touse by an unauthorized user, it may be registered as “black listed” inEIR 1044, preventing its use on the network. A MME 1046 is a controlnode which may track MS 1002 or UE 1024 if the devices are idle.Additional functionality may include the ability of MME 1046 to contactidle MS 1002 or UE 1024 if retransmission of a previous session isrequired.

As described herein, a telecommunications system wherein management andcontrol utilizing a software designed network (SDN) and a simple IP arebased, at least in part, on user equipment, may provide a wirelessmanagement and control framework that enables common wireless managementand control, such as mobility management, radio resource management,QoS, load balancing, etc., across many wireless technologies, e.g. LTE,Wi-Fi, and future 5G access technologies; decoupling the mobilitycontrol from data planes to let them evolve and scale independently;reducing network state maintained in the network based on user equipmenttypes to reduce network cost and allow massive scale; shortening cycletime and improving network upgradability; flexibility in creatingend-to-end services based on types of user equipment and applications,thus improve customer experience; or improving user equipment powerefficiency and battery life-especially for simple M2M devices-throughenhanced wireless management.

While examples of a telecommunications system in which emergency alertscan be processed and managed have been described in connection withvarious computing devices/processors, the underlying concepts may beapplied to any computing device, processor, or system capable offacilitating a telecommunications system. The various techniquesdescribed herein may be implemented in connection with hardware orsoftware or, where appropriate, with a combination of both. Thus, themethods and devices may take the form of program code (i.e.,instructions) embodied in concrete, tangible, storage media having aconcrete, tangible, physical structure. Examples of tangible storagemedia include floppy diskettes, CD-ROMs, DVDs, hard drives, or any othertangible machine-readable storage medium (computer-readable storagemedium). Thus, a computer-readable storage medium is not a signal. Acomputer-readable storage medium is not a transient signal. Further, acomputer-readable storage medium is not a propagating signal. Acomputer-readable storage medium as described herein is an article ofmanufacture. When the program code is loaded into and executed by amachine, such as a computer, the machine becomes an device fortelecommunications. In the case of program code execution onprogrammable computers, the computing device will generally include aprocessor, a storage medium readable by the processor (includingvolatile or nonvolatile memory or storage elements), at least one inputdevice, and at least one output device. The program(s) can beimplemented in assembly or machine language, if desired. The languagecan be a compiled or interpreted language, and may be combined withhardware implementations.

The methods and devices associated with a telecommunications system asdescribed herein also may be practiced via communications embodied inthe form of program code that is transmitted over some transmissionmedium, such as over electrical wiring or cabling, through fiber optics,or via any other form of transmission, wherein, when the program code isreceived and loaded into and executed by a machine, such as an EPROM, agate array, a programmable logic device (PLD), a client computer, or thelike, the machine becomes an device for implementing telecommunicationsas described herein. When implemented on a general-purpose processor,the program code combines with the processor to provide a unique devicethat operates to invoke the functionality of a telecommunicationssystem.

While a telecommunications system has been described in connection withthe various examples of the various figures, it is to be understood thatother similar implementations may be used or modifications and additionsmay be made to the described examples of a telecommunications systemwithout deviating therefrom. For example, one skilled in the art willrecognize that a telecommunications system as described in the instantapplication may apply to any environment, whether wired or wireless, andmay be applied to any number of such devices connected via acommunications network and interacting across the network. Therefore, atelecommunications system as described herein should not be limited toany single example, but rather should be construed in breadth and scopein accordance with the appended claims.

In describing preferred methods, systems, or apparatuses of the subjectmatter of the present disclosure—on-demand robot virtualization,intelligent service on-demand robot virtualization, and robotvirtualization leveraging Geo analytics and augmented reality—asillustrated in the Figures, specific terminology is employed for thesake of clarity. The claimed subject matter, however, is not intended tobe limited to the specific terminology so selected, and it is to beunderstood that each specific element includes all technical equivalentsthat operate in a similar manner to accomplish a similar purpose.

This written description uses examples to disclose the invention,including the best mode, and also to enable any person skilled in theart to practice the invention, including making and using any devices orsystems and performing any incorporated methods. The patentable scope ofthe invention is defined by the claims, and may include other examplesthat occur to those skilled in the art (e.g., skipping steps, combiningsteps, or adding steps between exemplary methods disclosed herein). Suchother examples are intended to be within the scope of the claims if theyhave structural elements that do not differ from the literal language ofthe claims, or if they include equivalent structural elements withinsubstantial differences from the literal languages of the claims.

What is claimed:
 1. A computer readable storage medium storing computerexecutable instructions that when executed by a computing device causesaid computing device to effectuate operations comprising: receivinginformation associated with a service; determining at least one task toperform to fulfill the service; determining based on the at least onetask, specifications for at least one robot, wherein the specificationscomprise payload capacity of the robot; generating a virtual machinebased on the specifications for the at least one robot; and providinginstructions to activate the virtual machine to control the at least onerobot.
 2. The computer readable storage medium of claim 1, wherein theinformation further comprises geo analytic data.
 3. The computerreadable storage medium of claim 1, the operations further comprising inresponse to providing instructions to activate the virtual machine,receiving, by the apparatus, information associated with the at leastone task.
 4. The computer readable storage medium of claim 1, theoperations further comprising: determining at least one other task toperform to fulfill the service; determining, based on the at least oneother task, specifications for at least one other robot; generating thevirtual machine based on the specifications for the at least one otherrobot; and providing instructions to activate the virtual machine tocontrol the at least one other robot.
 5. The computer readable storagemedium of claim 1, the operations further comprising: determining atleast one other task to perform to fulfill the service; determining,based on the at least one other task, specifications for at least oneother robot; generating the virtual machine based on the specificationsfor the at least one other robot; and providing instructions to activatethe virtual machine to control the at least one other robot, wherein theproviding instructions to activate the virtual machine to control the atleast one other robot are provided in parallel with the providinginstructions to activate the virtual machine to control the at least onerobot.
 6. The computer readable storage medium of claim 1, theoperations further comprising: determining at least one other task toperform to fulfill the service; determining, based on the at least oneother task, specifications for at least one other robot; generating thevirtual machine based on the specifications for the at least one otherrobot; and providing instructions to activate the virtual machine tocontrol the at least one other robot, wherein the providing instructionsto activate the virtual machine to control the at least one other robotare provided sequentially with the providing instructions to activatethe virtual machine to control the at least one robot.
 7. The computerreadable storage medium of claim 1, the operations further comprising inresponse to generating the virtual machine, transmitting the virtualmachine to the robot.
 8. The computer readable storage medium of claim1, the operations further comprising in response to generating thevirtual machine, transmitting the virtual machine to the robot.
 9. Thecomputer readable storage medium of claim 1, wherein the activating ofthe virtual machine to control the at least one robot occurs on the atleast one robot.
 10. The computer readable storage medium of claim 1,wherein the specifications further comprise a speed of the robot.
 11. Asystem comprising: one or more processors; and memory coupled with theone or more processors, the memory storing executable instructions thatwhen executed by the one or more processors cause the one or moreprocessors to effectuate operations comprising: receiving informationassociated with a service; determining at least one task to perform tofulfill the service; determining based on the at least one task,specifications for at least one robot, wherein the specificationscomprise battery information of the robot; generating a virtual machinebased on the specifications for the at least one robot; and providinginstructions to activate the virtual machine to control the at least onerobot.
 12. The system of claim 11, wherein the information furthercomprises geo analytic data.
 13. The system of claim 11, the operationsfurther comprising in response to providing instructions to activate thevirtual machine, receiving, by the apparatus, information associatedwith the at least one task.
 14. The system of claim 11, the operationsfurther comprising: determining at least one other task to perform tofulfill the service; determining, based on the at least one other task,specifications for at least one other robot; generating the virtualmachine based on the specifications for the at least one other robot;and providing instructions to activate the virtual machine to controlthe at least one other robot.
 15. The system of claim 11, the operationsfurther comprising: determining at least one other task to perform tofulfill the service; determining, based on the at least one other task,specifications for at least one other robot; generating the virtualmachine based on the specifications for the at least one other robot;and providing instructions to activate the virtual machine to controlthe at least one other robot, wherein the providing instructions toactivate the virtual machine to control the at least one other robot areprovided in parallel with the providing instructions to activate thevirtual machine to control the at least one robot.
 16. The system ofclaim 11, the operations further comprising: determining at least oneother task to perform to fulfill the service; determining, based on theat least one other task, specifications for at least one other robot;generating the virtual machine based on the specifications for the atleast one other robot; and providing instructions to activate thevirtual machine to control the at least one other robot, wherein theproviding instructions to activate the virtual machine to control the atleast one other robot are provided sequentially with the providinginstructions to activate the virtual machine to control the at least onerobot.
 17. The system of claim 11, the operations further comprising inresponse to generating the virtual machine, transmitting the virtualmachine to the robot.
 18. The system of claim 11, the operations furthercomprising in response to generating the virtual machine, transmittingthe virtual machine to the robot.
 19. The system of claim 11, whereinthe activating of the virtual machine to control the at least one robotoccurs on the at least one robot.
 20. The system of claim 11, whereinthe specifications further comprise a speed of the robot.